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This study aims to empirically analyze the influence of product quality and service quality on customer satisfaction, with purchase decisions as a mediating variable, specifically among Alfamart consumers in the Singosari area, Malang Regency. The background of this research stems from the increasing competition in the modern retail sector, which requires companies to understand the key factors influencing customer satisfaction and loyalty. In this context, product quality and service quality are considered essential elements that shape customer perceptions and influence their purchasing decisions. A quantitative approach with an explanatory research design was used in this study. The sample was selected using purposive sampling, involving 97 respondents who had made purchases at Alfamart at least twice within the last three months. Data collection was conducted through the distribution of structured questionnaires, which included items measuring perceptions of product quality, service quality, purchase decisions, and customer satisfaction. The data were analyzed using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method to examine the relationships among variables comprehensively and simultaneously. The results of the analysis show that both product quality and service quality have a significant and positive effect on purchase decisions and customer satisfaction. Moreover, purchase decisions are proven to significantly mediate the influence of both product and service quality on customer satisfaction. This indicates that the purchase decision acts as a crucial mechanism linking the effect of quality to overall satisfaction. These findings contribute theoretically to the consumer behavior literature in the modern retail context and offer practical implications for retail management, such as Alfamart. Retailers are encouraged to focus on improving both product offerings and service delivery as strategic efforts to enhance customer experience. By doing so, they can effectively increase customer satisfaction and strengthen customer loyalty in the long term.

This study aims to analyze the effect of service quality on repurchase intention with customer satisfaction as a mediating variable at Pandan View Mandeh Resto. The study was conducted with a quantitative approach and used a causal associative design to explain the relationship between variables. The population in this study were all customers who had received services and consumed food and drinks at Pandan View Mandeh Resto within the past year, with a minimum age requirement of 17 years. The sample set was 130 respondents and was obtained through questionnaire distribution. Data collection was carried out using a questionnaire instrument that had been prepared based on indicators from the research variables. Furthermore, the data obtained were analyzed using the Partial Least Square - Structural Equation Modeling (PLS-SEM) method with the help of the Smart-PLS application. The analysis carried out included outer model testing (validity and reliability), inner model testing (relationships between latent variables), hypothesis testing, and mediation testing. The results showed that service quality has a positive and significant influence on customer satisfaction. Furthermore, customer satisfaction has been shown to have a positive and significant effect on repurchase intention. Furthermore, service quality also has a significant positive effect on repurchase intention. Mediation analysis shows that customer satisfaction acts as a partial mediator in the relationship between service quality and repurchase intention. This means that some of the influence of service quality on repurchase intention occurs through customer satisfaction, while others occur directly. These findings emphasize the importance of maintaining and improving service quality to create satisfaction, which in turn impacts customer loyalty.

This research explores the influence of customer satisfaction on the financial performance of Perumda Tirtanadi, with a particular focus on the digital service system as a moderating factor. The study is driven by the growing urgency for digital innovation in public service sectors, particularly in the wake of the COVID-19 pandemic, which significantly altered customer engagement patterns. A quantitative method is adopted, employing Partial Least Squares–Structural Equation Modeling (PLS-SEM) using the SmartPLS 4 software to process the collected data. The analysis demonstrates that both customer satisfaction and digital services have independent and significant positive effects on financial outcomes. However, the interaction between these two variables does not show a statistically significant moderating effect. These findings underline the value of digital infrastructure as a strategic internal resource that supports financial growth. Nevertheless, the minimal moderating impact suggests that a portion of customers either lack access or sufficient skills to effectively utilize the available digital platforms. This study adds to the current body of knowledge by examining the interplay between digital transformation and customer satisfaction in shaping financial performance, framed through the Resource-Based View (RBV) theory. The research suggests that improving digital literacy and promoting better adoption of digital tools among customers is essential to fully capitalize on the benefits of technological advancement. Furthermore, it highlights the need for continuous training and support to ensure that all customers can engage with digital services effectively, thereby enhancing overall satisfaction and financial performance. By addressing these gaps, organizations can foster a more inclusive digital environment that benefits both the customers and the service providers.

This study explores the key determinants of field engineer efficiency in the field service industry by analyzing the impact of self-efficacy, resource management, and time management on operational performance. Employing a quantitative research approach, data were collected using saturated sampling from 102 field engineers and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The measurement model showed robust psychometric properties, satisfying the thresholds for convergent validity, discriminant validity, and internal consistency reliability. The structural model results indicate that all three independent variables significantly influence field engineer efficiency. Self-efficacy was found to have the strongest effect (β = 0.421, p < 0.001), followed by resource management (β = 0.347, p < 0.001) and time management (β = 0.289, p < 0.001). The model accounts for 68.7% of the variance in field engineer efficiency, reflecting strong explanatory power and predictive accuracy. Among these variables, self-efficacy emerged as the most dominant factor, suggesting that field engineers' belief in their ability to perform tasks is a critical driver of operational success. High self-efficacy enhances motivation, resilience, and effective problem-solving under pressure, making it essential in dynamic and unpredictable field environments. Resource and time management also play crucial roles in supporting engineers' ability to complete tasks efficiently by ensuring optimal allocation of tools, equipment, and time. The findings provide practical implications for field service organizations aiming to improve workforce performance. Investing in training programs that strengthen self-efficacy, combined with systematic improvements in resource and time management practices, can significantly enhance operational outcomes. By prioritizing these factors, organizations can boost engineer efficiency, reduce operational costs, and improve service delivery, ultimately gaining a stronger competitive advantage in the industry.

Photogrammetry is a technique for measuring and modeling three-dimensional objects by utilizing digital imagery from various perspectives. In the context of reverse engineering, this technique serves to duplicate, reconstruct, and analyze the dimensions of physical objects with a high degree of accuracy. The main advantage of photogrammetry lies in its ability to capture the details of the shape and texture of objects without the need for physical contact. However, the quality of photogrammetry scan results is greatly influenced by a number of technical factors, especially lighting and camera sensor sensitivity (ISO) settings. Variations in these two parameters can cause deviations or dimensional deviations in the resulting 3D model. This study aims to quantitatively evaluate the influence of lighting intensity and camera ISO setting on dimensional deviation in photogrammetry scan results. The research method used is experimental, where the dimensions of the scanned object are compared to the original dimensions using precision measuring instruments. The results showed that both the lighting level and the ISO setting had a significant influence on the accuracy level of the 3D model. The ideal lighting intensity range was found to be in the range of 125–150 lux, where shadows and light reflections could be minimized. Meanwhile, the use of low ISO (around 200) is able to produce cleaner image textures and minimize noise, resulting in smaller dimensional deviations. Additionally, the interaction between moderate lighting and low ISO is proven to provide the best scanning accuracy. This combination is able to maintain a balance between image quality and surface detail of the object. These findings not only provide practical recommendations regarding the regulation of scanning conditions, but can also serve as a guideline for industry practitioners and academics in improving the quality of reverse engineering results. With a proper understanding of lighting and ISO variables, the photogrammetry process can be optimized to produce more accurate and efficient 3D models.

Penelitian ini bertujuan untuk menganalisis pengaruh orientasi kewirausahaan dan orientasi pembelajaran terhadap kinerja pemasaran baik secara langsung maupun tidak langsung melalui inovasi sebagai variabel mediasi. Populasi yang digunakan adalah seluruh pelaku industri kecil makanan dan minuman di Kabupaten Kendal, dengan ukuran jumlah sampel yang digunakan adalah 100 responden. Teknik pengambilan sampel menggunakan simple random sampling. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik analisis data yang digunakan adalah Structural Equation Modeling-Partial Least Square (SEM-PLS). Hasil penelitian menjelaskan jika orientasi kewirausahaan berpengaruh positif dan signifikan terhadap kinerja pemasaran, orientasi pembelajaran berpengaruh positif dan signifikan terhadap kinerja pemasaran, dan inovasi berpengaruh positif dan signifikan terhadap kinerja pemasaran. Hasil penelitian juga menjelaskan jika orientasi kewirausahaan berpengaruh positif dan signifikan terhadap inovasi, dan orientasi pembelajaran berpengaruh positif dan signifikan terhadap inovasi. Hasil uji mediasi diperoleh bahwa inovasi dapat memediasi pengaruh orientasi kewirausahaan terhadap kinerja pemasaran, dan inovasi dapat memediasi pengaruh orientasi pembelajaran terhadap kinerja pemasaran.

Pendistribusian bantuan yang efisien menjadi tantangan utama dalam proses penyaluran. Penelitian ini bertujuan untuk merancang sistem cerdas yang mampu memetakan dan menyalurkan bantuan secara optimal dengan pendekatan algoritmik. Metodologi yang digunakan meliputi pemodelan sistem dengan menggunakan Unified Modeling Language (UML), perancangan struktur basis data relasional, dan perancangan algoritma penyaluran berdasarkan kriteria prioritas dan efisiensi logistik. UML digunakan untuk menggambarkan arsitektur sistem secara visual, meliputi use case, class, dan diagram aktivitas. Perancangan basis data dilakukan untuk memastikan integritas data dan kemudahan pengelolaan informasi bantuan, lokasi, dan kebutuhan penerima. Algoritma yang dikembangkan memanfaatkan pendekatan heuristik untuk menentukan rute penyaluran dan prioritas penerima berdasarkan parameter lokasi geografis. Hasil penelitian ini berupa prototipe model konseptual yang dapat digunakan sebagai dasar pengembangan sistem cerdas berbasis teknologi untuk mendukung proses penyaluran bantuan yang adaptif dan responsif.

When producing a perfect product, design process namely 2D modeling and 3D drawing, are closely related. The purpose of this study is to design a 3D model of a gun mastering machine product as a fan drive using CAD applications. The method of this study is decision data on API production (analytical product inspection). Measurement of sterling machine degradation using CPK (deviation) received results of -0.97, -0.22, 0.86, 0.11, 0.11 between zero and what indicates this specification. On average, the results of the stirling fluid fluorescent agent measurement are red numbers indicating that the survey dimensions are absent, especially from the basic dimensions of point 4, with samples 2, 3, and 5 exceeding the specified tolerance limits.

This study aims to analyze the effect of career development on organizational citizenship behavior (OCB), mediated by employee engagement, with a case study at Prama Sanur Beach Bali. A saturated sampling technique was used, with the total population of 104 employees serving as the sample. The research method employed was a survey using questionnaires and interviews, analyzed through descriptive statistics and inferential statistical tools using Structural Equation Modeling - Partial Least Squares (SEM-PLS). The results indicate that career development has a positive and significant effect on organizational citizenship behavior. Career development also has a positive and significant effect on employee engagement. Moreover, employee engagement has a positive and significant effect on organizational citizenship behavior and mediates the relationship between career development and organizational citizenship behavior.  

Issues related to self-esteem and body image have become a significant psychological challenge among female students, particularly at the Faculty of Education and Educational Sciences of PGRI University Banyuwangi. Factors such as social pressure, unrealistic beauty standards, and low self-acceptance lead to many female students experiencing a lack of confidence in their physical appearance. Therefore, appropriate psychological intervention is needed to help them develop a more positive mindset. positive mindset. This study employs a quantitative approach with a one-group pretest-posttest design. The research subjects are female students at the Faculty of Education and Teacher Training (FKIP) of PGRI University Banyuwangi who have low self-esteem regarding their body image. The intervention is conducted through group counseling services using reinforcement techniques and supported by modeling techniques. The results of the study showed a significant increase in self-esteem regarding body image among female students after participating in the group counseling service. The application of reinforcement techniques proved effective in strengthening positive behaviors and mindsets regarding body image. Thus, this service can be used as a counseling strategy to improve the psychological and social self-confidence of female students.

Abstract: This study investigates the impact of social media marketing (SMM) on brand awareness,brand engagement, and purchase intention across five emerging European economies: Albania,Kosovo, Romania, Ukraine, and North Macedonia. Anchored in the Uses and Gratifications Theory(UGT) and the Consumer Brand Engagement (CBE) model, the research employs Partial LeastSquares Structural Equation Modeling (PLS-SEM) to examine the complex interrelationships amongthese constructs. Findings reveal that SMM positively influences brand awareness and engagement,both of which significantly mediate the relationship between SMM and purchase intention.Importantly, the strength and nature of these effects vary by country, underscoring the role ofcultural and contextual factors in shaping consumer responses to digital marketing stimuli. Thiscross-national analysis fills a critical gap in the literature by focusing on underrepresented, highgrowth markets and offers valuable implications for both theory and practice. Specifically, itadvocates for localized, culturally sensitive SMM strategies that emphasize both visibility andinteractive engagement. The study contributes to the broader marketing discourse by demonstratinghow consumer behavior in digitally connected, developing economies diverges from that in maturemarkets, thereby reinforcing the necessity of context-aware digital marketing frameworks in globalstrategy formulation.

This study aims to examine and analyze, both partially and simultaneously, the influence of system knowledge, coworker support, and frequency of system usage on the effectiveness of computerized financial reporting and trust in the system. Furthermore, this research investigates the moderating role of trust in the system in the relationship between those three independent variables and reporting effectiveness. This study is considered novel as it incorporates three variables not previously explored in combination—particularly trust in the system as a moderating factor. The study was conducted on 391,500 employees from 94 banks across Indonesia, with a sample of 100 employees selected using Slovin’s formula. The independent variables in this research are system knowledge, coworker support, and frequency of system usage; the dependent variable is the effectiveness of computerized financial reporting; and the moderating variable is trust in the system. A quantitative descriptive approach was employed, and data were analyzed using Structural Equation Modeling (SEM) with SmartPLS 4.0. The findings reveal that system knowledge, coworker support, and frequency of system usage each significantly affect both computerized financial reporting effectiveness and trust in the system. Trust in the system is also found to significantly impact the effectiveness of computerized financial reporting. Simultaneously, only system knowledge and usage frequency show a significant effect when trust in the system serves as a moderating variable, whereas coworker support does not exert a significant influence under the same condition.

This study aims to analyze the influence of social media, experiential marketing, and service quality on customer satisfaction with Bloodz distro products in the Jakarta area. This research employs a quantitative method, collecting data through questionnaires distributed to Bloodz distro customers. The collected data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) method with the SmartPLS software. The findings reveal that the three variables— social media, experiential marketing, and service quality—positively and significantly affect customer satisfaction. Among these variables, service quality has the most dominant influence. These findings highlight the importance of integrated marketing strategies, enhanced customer experiences, and improved service quality in increasing customer satisfaction.  

Employee retention is a crucial aspect of human resource management, reflecting an organization's ability to retain its workforce over the long term. This study aims to analyze the effect of organizational commitment on employee retention, with job satisfaction as a mediating variable. The study was conducted at PT. BPR Tri Darma Putri Klungkung, involving a total of 57 employees as respondents. A quantitative associative approach was employed, and data were collected using a structured questionnaire. Data analysis was carried out using Partial Least Squares (PLS) based on Structural Equation Modeling (SEM). The results reveal that organizational commitment has a significant positive effect on employee retention. Additionally, organizational commitment significantly affects job satisfaction, and job satisfaction, in turn, has a significant positive influence on employee retention. Furthermore, job satisfaction partially and complementarily mediates the relationship between organizational commitment and employee retention at PT. BPR Tri Darma Putri Klungkung. This study reinforces social exchange theory and offers practical implications for company management to enhance employee retention through strengthening commitment and job satisfaction.

The digital era requires libraries, including the UIN KHAS Jember Library, to innovate in attracting visitors. This study aims to analyze the role of social media in encouraging visitors to return to the library, with visitor satisfaction as a mediating variable. Using a quantitative approach with a correlational design and Structural Equation Modeling - Partial Least Squares (SEM-PLS) method, this study involved 160 active students from UIN KHAS Jember who had interacted with the library's social media as respondents selected through purposive sampling. The analysis results indicate that social media significantly and positively influences library user satisfaction (path coefficient = 0.697), and library user satisfaction has a very strong and significant influence on the intention to revisit (path coefficient = 0.797). However, it was found that social media does not have a significant direct influence on the intention to revisit, but is fully mediated by library user satisfaction. This means that social media acts as a catalyst to enhance library user satisfaction, and it is this satisfaction that serves as the primary driver for them to revisit.

This study aims to analyze the influence of Uses and Gratifications Theory (U&G Theory) dimensions—including hedonic gratification (perceived enjoyment), utilitarian gratification (perceived utility and self-presentation), and social gratification (social presence) as well as perceived network size on continuous purchase intention. In addition, the study explores the mediating role of perceptions of digital celebrities in the context of live streaming shopping for modest fashion products on TikTok. A quantitative approach was employed using a survey method involving 429 TikTok users who had purchased modest fashion items through live streaming. The data were analyzed using covariance-based Structural Equation Modeling (SEM) with AMOS software. The findings reveal that perceived utility, self-presentation, and social presence positively influence continuous purchase intention, whereas perceived enjoyment shows no significant effect. Furthermore, perceived network size has a significant impact on perceived enjoyment, perceived utility, and social presence. The study also demonstrates that perceptions of digital celebrities mediate the relationship between perceived network size and all dimensions of U&G Theory. These results enrich the literature on consumer motivation and behavior in live streaming commerce and offer strategic implications for businesses in designing relevant content and collaborations to foster customer loyalty.

This study aims to examine the effect of attitude and brand innovation on brand equity among Bank Mandiri Customers in West Jakarta. In the face of increasing competition in the banking industry, effective brand management is crucial for maintaining market position and enhancing customer loyalty. This research uses a quantitative approach by analyzing data from 100 respondents who are involved in transactions at Bank Mandiri. The data is analyzed using Structural Equation Modeling (SEM) to explore the relationships between variables. The findings show that both brand attitude and brand innovation have a significant positive effect on brand equity. Specifically, a positive brand innovation enhances perceptions of quality and the brand’s competitiveness in the market. This study provides practical implications for Bank Mandiri’s management in formulating more effective marketing strategies by considering these two factors. The research also emphasizes the importance of innovation that aligns with customer expectations in strengthening brand equity in the competitive banking market.

This study aims to analyze the effect of social media marketing on repurchase intention of Skintific products through perceived value by consumers, especially among students of the Faculty of Economics and Business, Makassar State University. The type of research used in this study is quantitative research with an explanatory approach. The population in this study consisted of active students who use Skintific products, with a sample of 150 respondents selected using purposive sampling technique. Data collection was carried out through a Likert scale-based questionnaire distributed to respondents. The data collected is then processed using the SmartPLS 3.2.9 analysis tool and this research method uses Structural Equation Modeling - Partial Least Squares (SEM-PLS). The results showed that social media marketing has a positive and significant influence on repurchase intentions. In addition, social media marketing also has a positive and significant effect on consumer perceived value. Perceived value of consumers is also proven to have a positive and significant effect on repurchase intentions. Further analysis shows that perceived value acts as a significant mediator in the relationship between social media marketing and repurchase intentions.

The coastal area of Manado City, particularly the estuary of the Bailang River in Bunaken District, frequently experiences inundation due to the complex interaction between river discharge and tidal fluctuations. This study aims to analyze the spatial distribution and extent of flooding resulting from the combination of river discharge and tides, as well as to evaluate mitigation strategies based on numerical modeling results. A two-dimensional hydrodynamic model was developed using MIKE 21 Flow Model FM HD, utilizing topographic and bathymetric data from DEMNAS and BATNAS, along with 2023 river discharge and tidal data. Simulations were conducted for existing conditions, minimum discharge with maximum tide, and maximum discharge with maximum tide. The results show that tidal influence significantly contributes to the increase in flood extent and duration, especially when high river discharge coincides with peak tidal conditions. The most affected areas are Kelurahan Molas and Tumumpa, located along the riverbanks and near the fish auction port, with inundation covering up to 4.973 hectares and water depths exceeding 0.5 meters. Recommended mitigation strategies include river normalization and the implementation of a real-time hydrodynamic early warning system. This study supports flood risk management and coastal spatial planning, serving as a technical reference for local government policy-making.

Penelitian ini bertujuan untuk menganalisis pengaruh kepemimpinan yang melayani dan efikasi diri terhadap kinerja pegawai Kecamatan Candisari baik secara langsung maupun tidak langsung melalui komitmen organisasi sebagai mediasi. Populasi yang digunakan adalah seluruh pegawai yang bekerja di Kecamatan Candisari Kota Semarang dengan jumlah 105 pegawai. Teknik pengambilan sampel menggunakan metode sensus atau sampel jenuh, sehingga seluruh jumlah populasi akan dijadikan sampel penelitian yaitu 105 responden. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik analisis data yang digunakan adalah Structural Equation Modeling-Partial Least Square (SEM-PLS). Hasil penelitian menunjukkan bahwa kepemimpinan yang melayani dan efikasi diri berpengaruh positif dan signifikan terhadap komitmen organisasi.  Kepemimpinan yang melayani, efikasi diri dan komitmen organisasi berpengaruh positif dan signifikan terhadap kinerja pegawai. Hasil uji mediasi menunjukkan bahwa komitmen organisasi dapat memediasi pengaruh kepemimpinan yang melayani terhadap kinerja pegawai, dan pengaruh efikasi diri terhadap kinerja pegawai.